Results 251 to 260 of about 472,321 (294)

POWER PREDICTION EQUATIONS

Medicine & Science in Sports & Exercise, 2005
Paul K. Canavan, Jason D. Vescovi
openaire   +2 more sources

Multivariate prediction equations in geology

Journal of the International Association for Mathematical Geology, 1970
It is suggested that in geology the estimated values ŶT, ŶB, and, in particular, ŶG may provide useful information in multivariate prediction problems where the outcome will be determined mainly by mutually interrelated, local anomalies for many geological variables.
openaire   +1 more source

Prediction Equations in Quantitative Genetics

Biometrics, 1955
One of the fundamental concepts in the application of statistical methods to the analysis of the inheritance of characters showing continuous variation is the additive genetic variance ao , the variance in any character in a population that is due to the average effects of genes.
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Development of predictive equations for lifting strengths

Applied Ergonomics, 1995
The purpose of the study was to determine relationship between lifting strengths of male and female subjects and body posture, type of lift (stoop or squat) and velocity of lift. Thirty normal young adults (18 males and 12 females) volunteered for the study. All subjects were required to perform a total of 56 tasks. Of these, 28 were stoop lifts and 28
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SOME PREDICTIONS OF THE COSMOLOGICAL SCHRÖDINGER EQUATION

International Journal of Modern Physics D, 2003
Starting from the apparently periodic structures of the universe, revealed in a series of recent observations, we suppose that Dark Matter is composed of a quantum particle of very low mass and is clustered around the luminous matter of galaxies. We reduce the cosmological Friedman–Einstein dynamical system to a sort of Schrödinger equation for this ...
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Higher-order neurodynamical equation for simplex prediction

Neural Networks
It is demonstrated that higher-order patterns beyond pairwise relations can significantly enhance the learning capability of existing graph-based models, and simplex is one of the primary form for graphically representing higher-order patterns. Predicting unknown (disappeared) simplices in real-world complex networks can provide us with deeper insights,
Zhihui Wang, Jianrui Chen, Maoguo Gong, Zhongshi Shao   +3 more
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Solving integral equations in free space with inverse-designed ultrathin optical metagratings

Nature Nanotechnology, 2023
Andrea Cordaro, Andrea Alu
exaly  

DeepXDE: A Deep Learning Library for Solving Differential Equations

SIAM Review, 2021
Lu Lu, George E Karniadakis
exaly  

Anti‐Sense of Prediction Equations

Journal of the American Geriatrics Society, 1988
openaire   +2 more sources

An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications

Computer Methods in Applied Mechanics and Engineering, 2020
Esteban Samaniego, Somdatta Goswami, Timon Rabczuk   +2 more
exaly